What is the best case for linear search?

In linear search, best-case complexity is O(1) where the element is found at the first index. Worst-case complexity is O(n) where the element is found at the last index or element is not present in the array.

What is the average complexity of linear search?

All tutorials and wikipedia says that the complexity of linear search for average case is n/2.

What is the average case time complexity of linear search Mcq?

Linear search makes n/2 comparisons on an average where n is the number of elements.

What is the average case time complexity for linear search on a sorted array?

O(logN)
The Average Case: On average, the target element will be somewhere in the array. So, the time complexity will be O(logN) .

When the average case occur in linear search algorithm?

The average case occurs in the Linear Search Algorithm when the item to be searched is in some where middle of the Array. The best case occurs in the Linear Search Algorithm when the item to be searched is in starting of the Array.

What is the best and average case of binary search?

In short: Best Case Time Complexity of Binary Search: O(1) Average Case Time Complexity of Binary Search: O(logN) Worst Case Time Complexity of Binary Search: O(logN)

What is average case for linear search?

A linear search runs in at worst linear time and makes at most n comparisons, where n is the length of the list. If each element is equally likely to be searched, then linear search has an average case of n+12 comparisons, but the average case can be affected if the search probabilities for each element vary.

What is the average case of linear search Mcq?

What is the average case for linear search Mcq?

Explanation: The average case occurs in the Linear Search Algorithm when the item to be searched is in some where middle of the Array. The best case occurs in the Linear Search Algorithm when the item to be searched is in starting of the Array.

What is average case in algorithm?

In computational complexity theory, the average-case complexity of an algorithm is the amount of some computational resource (typically time) used by the algorithm, averaged over all possible inputs.

What is the intricacy of the average case of algorithm?

What is average case in binary search?

Therefore, Average Case Time Complexity of Binary Search is O(logN).